PhD thesis in geosciences M/F
New
- FTC PhD student / Offer for thesis
- 36 month
- BAC+5
This offer is available in English version
This offer is open to people with a document recognizing their status as a disabled worker.
Offer at a glance
The Unit
Institut des Sciences de la Terre d'Orléans
Contract Type
FTC PhD student / Offer for thesis
Working hHours
Full Time
Workplace
45071 ORLEANS
Contract Duration
36 month
Date of Hire
01/10/2026
Remuneration
3377 € gross monthly
Apply Application Deadline : 16 July 2026 23:59
Job Description
Thesis Subject
At CNRS, ISTO, PhD title: Machine Learning assisted multi modal investigations to unravel sulfide accumulation processes in ore deposits of economic interest
Missions: The project aims to characterize chemical and spatial correlations recorded in sulfide grains in natural and experimental samples, and to discover indicators of its formation processes, such as fluid or melt derived origin, growth rate, and number of growth episodes. ML-assisted multimodal spatial analyses are critical for the study because of its range of spatial variations from µm to cm scale, and the variety of analytical data from FIB-SEM, EPMA, LA-ICPMS, and X-Ray tomography. That is the innovation and challenge of the project and is an ideal problem to work with ML algorithm to test the test sulfide formation models that are already proposed. The target research site is Noril'sk a well-known site with wealth of pre-existing data (the academic supervisor possesses samples). The developed methods will be also investigated for other sulfide deposits in which samples are already available (e.g., Sakatti and Kevitsa magmatic sulfide ores in Finland, Black Swan ores in komatiite (Western Australia), and Bushveld Complex (South Africa).
Activities: 1) The identification of statistically significant workflows identifying the classes of sulfide formation process, ultimately helping economic prospection of sulfides; (2) to establishing analytical methods required to obtain such criteria (chemical and spatial indicator); (3) improve our knowledge in exploiting multimodal data in sulfide geochemistry
Your Work Environment
The PhD project belongs to the REALISE MSCA Doctoral Network (https://realise-dn.eu/). The main part of the project will be carried out at the Institut des Sciences de la Terre d'Orléans (ISTO, France) and the secondments at the University of Perugia (Italy) and Teledyne Photon Machines.
Outstanding and highly motivated doctoral candidates are sought to work at the intersection of igneous petrology, machine learning, and societal applications. Recruited researchers must not have resided or carried out their main activity (work, studies, etc.) in the France for more than 12 months in the 36 months immediately prior to the recruitment date.
Compensation and benefits
Compensation
3377 € gross monthly
Annual leave and RTT
44 jours
Remote Working practice and compensation
Pratique et indemnisation du TT
Transport
Prise en charge à 75% du coût et forfait mobilité durable jusqu’à 300€
About the offer
| Offer reference | UMR7327-MARROU0-081 |
|---|---|
| CN Section(s) / Research Area | Continental surface and interfaces |
About the CNRS
The CNRS is a major player in fundamental research on a global scale. The CNRS is the only French organization active in all scientific fields. Its unique position as a multi-specialist allows it to bring together different disciplines to address the most important challenges of the contemporary world, in connection with the actors of change.
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